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30 June 2022, Volume 25 Issue 3 Previous Issue   

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REVIEW

A Review on Integrated Process Planning and Scheduling Problem GAO Liang, LIU Qihao, LI Xinyu, LI Quanjun 2022, 25 (3):  1-9.  doi: 10.3969/j.issn.1007-7375.2022.03.001 Abstract ( 1594 )   HTML ( 59 )   PDF (491KB) ( 4441 )   Save The significance of integrated process planning and scheduling (IPPS) in modern manufacturing system is discussed. According to the order of process planning, shop scheduling and IPPS, the problems are summarized. The research status of IPPS is reviewed. The existing problems of IPPS are summarized and the development trend of IPPS is prospected. References | Related Articles | Metrics

ARTICLES

A Research on the Integrated Strategy of New Energy Automobile Manufacturing Enterprise Based on the Shareholding Strategy MA Liang, LIU Yujie, YUAN Qi 2022, 25 (3):  10-20.  doi: 10.3969/j.issn.1007-7375.2022.03.002 Abstract ( 1316 )   HTML ( 34 )   PDF (952KB) ( 4068 )   Save In the industrial chain system composed of battery suppliers, new energy vehicle manufacturers and retailers, in order to improve the endurance of vehicles, based on the shareholding strategy, backward integration and forward integration with new energy vehicle manufacturers, the main decision-making body integrated and two-way integrated Stackelberg game model is built, so as to compare and analyze the optimal decision value in different situations, and the optimal strategic decision of new energy automobile manufacturers is studied. The research results show that: compared with the non-integrated strategy, the three integrated strategies can improve the endurance of vehicles and the profits of new energy automobile manufacturers, and the integrated strategy is better than the non-integrated strategy; when the two-way shareholding ratio meets certain conditions, the two-way integration strategy has the highest car endurance, which can increase the profits of new energy vehicle manufacturers while increasing the profits of battery suppliers and retailers, and in achieving the coordination of the industrial chain, it is the best choice for new energy vehicle manufacturers. References | Related Articles | Metrics

A Research on O2O Channel Decisions of Enterprises Considering Value-added Consumption in Competitive Environment SHEN Chengran, ZHANG Yuman 2022, 25 (3):  21-27,75.  doi: 10.3969/j.issn.1007-7375.2022.03.003 Abstract ( 1266 )   HTML ( 31 )   PDF (1140KB) ( 4010 )   Save Two enterprises providing value-added consumption for O2O consumers on the basis of standard consumption under the competitive environment are studied and the different operation modes of O2O channels discussed: only providing standard consumption, a single enterprise provides value-added consumption and two enterprises provide value-added consumption. Through the establishment of Hotelling model, the optimal decisions of enterprises under different modes are obtained. The results show that value-added consumption will aggravate the price competition among enterprises and make the profit of enterprises lower than when they only provide standard consumption; whether enterprises provide value-added consumption, combination with the enterprise's market competition strategy, O2O channel market scale and the proportion of consumers who choose value-added consumption, need to be considered. References | Related Articles | Metrics

A Research on Closed-loop Supply Chain Pricing Considering Differential Weight Subsidy Under Consumer Segmentation GUO Chunxiang, WAN Ke, HUANG Haizhen 2022, 25 (3):  28-38.  doi: 10.3969/j.issn.1007-7375.2022.03.004 Abstract ( 1401 )   HTML ( 11 )   PDF (1396KB) ( 4211 )   Save Based on green consumer segmentation in the market, and considering the existence of a direct sales-channel, two closed-loop supply chain pricing models are constructed under the government's implementation of differential weight subsidy to the manufacturer and consumers. Then the choice of pricing strategy for supply chain members and the effects of differential weight subsidy, the ratio of green consumers and consumers' acceptance on the pricing and demands are discussed. The results show that the subsidy weight only affects the price of remanufactured products under different sales channels of new and remanufactured products, and the impact of government subsidy on the price of remanufactured products depends on the range of the subsidy weight. Besides, the increase of acceptance does not necessarily hinder the pricing of new products or promote the manufacturer's profit. In addition, compared with the retailer, the manufacturer's pricing strategy is affected by more factors. References | Related Articles | Metrics

Path Simulation and Analysis of Energy Saving and Emission Reduction in Electric-coal Supply Chain Based on System Dynamics HE Yong, WEI Qilun, LIAO Nuo 2022, 25 (3):  39-46,94.  doi: 10.3969/j.issn.1007-7375.2022.03.005 Abstract ( 1420 )   HTML ( 11 )   PDF (1196KB) ( 4286 )   Save In order to investigate the effect of different paths of energy-conservation and emission-reduction in electric-coal supply chain, a systematic model is constructed to simulate the energy-conservation and emission-reduction system, considering the economy, energy and environment goals. Taking Shen Hua Group as a case study, first, the parameters and main equations are determined, and the energy consumption, carbon emissions and the path of energy saving and emission reduction are analyzed, and the energy saving and emission reduction effects of different paths are simulated through the system dynamics model. The findings of this study include as follows: at first, the potential for energy saving and emission reduction in process of power generation is greater than other processes; secondly, reducing the standard coal consumption rate of coal-fired units, increasing the proportion of railway transportation in coal transportation, reducing the power consumption coefficient in coal mining, and increasing the investment in environmental protection treatment are effective ways to save energy and reduce emission in the electric-coal supply chain; third, there are differences in energy saving and emission reduction effects of different paths, and reducing the standard coal consumption rate of power generation has the most obvious effect on energy saving and emission reduction. References | Related Articles | Metrics

A Dynamic Study of Propaganda Strategy in Closed-loop Supply Chain Under Consumer Heterogeneous Preference SUN Jinling, GAO Fei, LIU Yunzhou 2022, 25 (3):  47-57.  doi: 10.3969/j.issn.1007-7375.2022.03.006 Abstract ( 1439 )   HTML ( 8 )   PDF (1188KB) ( 4232 )   Save In the perspective of consumers' heterogeneous preference, consumers are subdivided by brand preference and performance preference, and a study is conducted on the closed-loop supply chain for the dynamic decision-making and impact of advertising, promotion and recycling propaganda under government subsidies by differential game theory. The research shows that, no matter what the situation, advertising efforts and promotional efforts can directly increase the selling price of new products and recycled products, and that recycling efforts can only indirectly affect the selling price and market demand of products through product goodwill. Three types of propaganda efforts will tend to the optimal stable value over time, and change with the dynamic change of product goodwill. And the optimal stable value of promotional efforts is the highest among the three types of propaganda efforts. Government remanufacturing subsidies have always been beneficial to the development of the remanufacturing industry, but recycling subsidies can only play this role under the centralized manners. The benefits of decisions can be maximized under centralized manners, and if centralized manners cannot be achieved, companies can increase revenue through the contract model, and the revenue sharing contract can better achieve the Pareto improvement of the closed-loop supply chain. References | Related Articles | Metrics

A Research on Supply Chain Contract Coordination under Multiple Behavioral Preferences YANG Shuangpeng, MA Li, WANG Yongming 2022, 25 (3):  58-65.  doi: 10.3969/j.issn.1007-7375.2022.03.007 Abstract ( 1421 )   HTML ( 8 )   PDF (535KB) ( 4226 )   Save Behavioral supply chain research is often limited to the fact that supply chain members only have a single behavioral preference, and seldom involves deeper extension research. Combined with the actual scenario, it is assumed that the research object is a two-level supply chain composed of a supplier and a retailer, and the triple behavioral preferences of supply chain members, such as loss avoidance, fairness concern and altruism preference, are considered at the same time. On this basis, the collaborative optimization model of the supply chain under newsboy model is constructed, and the process and approach to realize the overall coordination are analyzed. Through case analysis, it is concluded that under the condition of repurchase contract, low fair concern, high loss avoidance and moderate altruistic preference value can better promote the cooperation between suppliers and retailers and realize the coordination of supply chain; and that under the condition of revenue sharing contract, higher loss avoidance degree, lower fair preference degree and moderate altruistic coefficient can make suppliers and retailers in the supply chain distribute the revenue evenly and realize the coordination of the supply chain. References | Related Articles | Metrics

Integrated Optimization of Sustainable Levels of Inventory and Transportation under Carbon Cap Policy LIU Caihong, TANG Zhongming 2022, 25 (3):  66-75.  doi: 10.3969/j.issn.1007-7375.2022.03.008 Abstract ( 1112 )   HTML ( 9 )   PDF (887KB) ( 3984 )   Save Based on decentralized coordination and centralized control of the vendor-managed inventory (VMI) supply chain, an integrated optimization model for the sustainable level of inventory transportation under the carbon cap policy is constructed to study the impact of the carbon cap policy on the performance of the sustainable supply chain. The Stackelberg method is used to construct a supply chain game model, and the sustainable level optimization decision-making processes are simulated in Matlab before and after the implementation of the carbon allowance policy. In order to adjust the spillover effects between suppliers and retailers, a supply chain coordination strategy based on revenue sharing contracts is designed. The results show that the carbon cap policy improves the sustainable levels of inventory and transportation, but has no effect on the service level. The total profit of centralized VMI supply chain increases monotonically with the carbon cap, while the total profit of the decentralized and coordinated VMI supply chain first rises and then decreases with the carbon cap. Regardless of the implementation of carbon cap policy or not, the total profit and sustainable levels of centralized VMI supply chain are greater than that of decentralized coordinated VMI supply chain. References | Related Articles | Metrics

A Research on Retailer Strategy Considering the Point Management Platform under Point-sharing Policy GAO Juhong, LIU Xiao, WANG Pengshuo 2022, 25 (3):  76-88,100.  doi: 10.3969/j.issn.1007-7375.2022.03.009 Abstract ( 1125 )   HTML ( 5 )   PDF (1486KB) ( 4252 )   Save Joining the points management platform under the retailer point-sharing policy is considered, and a differential game is used to study the optimal long-term profit and the optimal advertising effect trajectory of two retailers and the points management platform when the advertising effect decays with time. The results show that: consumers pay more attention to the promotion level than the promotion effectiveness, the cost sharing mechanism under decentralized decision-making can promote the advertising effect of products and the profits of all parties, while the fierce competition among retailers consumes the profits of each other and the points management platform. Finally, a numerical example is given to verify the importance of the conclusions, which provides reference for retailers to choose points alliance and points management platform. References | Related Articles | Metrics

A Research on Information Disclosure of Quality and Incentive Mechanism in Platform Selling WANG Hong 2022, 25 (3):  89-94.  doi: 10.3969/j.issn.1007-7375.2022.03.010 Abstract ( 1126 )   HTML ( 6 )   PDF (640KB) ( 4101 )   Save Considering the asymmetry of product quality information in e-commerce platform market, the information disclosure strategy of the platform and the seller's quality decision are analyzed. The results show that, the platform enterprise will choose to check the seller's product quality when the cost of quality inspection is not high. When the product is high-quality, the quality signal is sent. Otherwise, the platform enterprise will not check the product quality and also not disclose the real information when lacking corresponding incentive mechanisms. A game model between the seller and the platform enterprise is constructed. The mechanisms are designed to encourage the seller to improve the quality and the platform enterprise to check and disclose the information. From the perspective of the relevant government agencies and the seller, the corresponding suggestions about promoting the platform healthy development are proposed. References | Related Articles | Metrics

A Research on Apparel Retailers' Dynamic Pricing and Ordering Strategies Considering Fashion Efforts SHI Baoli, XU Qi, SUN Zhongmiao 2022, 25 (3):  95-100.  doi: 10.3969/j.issn.1007-7375.2022.03.011 Abstract ( 1100 )   HTML ( 7 )   PDF (597KB) ( 4293 )   Save Considering the influence of fashion effort input on retailers' dynamic pricing and revenue, a dynamic model of clothing retailers' revenue maximization is constructed, and the Pontryagin maximum method is used to solve it, and the clothing retailer's dynamic pricing, fashion effort input and ordering strategies are analyzed. Numerical simulation verification shows that at the beginning of sales, retailers should set lower retail prices to stimulate demand; and after retailers put in fashion efforts, sales prices will also increase. For products with slow fashion decay, retailers have invested more fashion efforts to achieve significant results. When consumers are more sensitive to product prices, retailers should not invest in fashion efforts. References | Related Articles | Metrics

A Research on the Deferred Payment Financing Mode for Car Rental Platform Considering with Early Repayment WU Xiaoli, WANG Wentao, LIU Shengbo 2022, 25 (3):  101-107.  doi: 10.3969/j.issn.1007-7375.2022.03.012 Abstract ( 1202 )   HTML ( 8 )   PDF (646KB) ( 4227 )   Save In order to solve the shortage of capital of the rental platform, the deferred payment financing mode with early repayment is proposed for the car rental supply chain composed of the manufacturer as the dominant player in the Stackelberg game and the rental platform as the follower. According to EOQ model theory, basic decision mode, traditional deferred payment financing mode and the deferred payment financing mode with early repayment are established respectively, and then the choice of financing strategy, the optimal wholesale price policy and the optimal ordering policy are given. The results show that the interest rate affects the optimal wholesale price policy, the optimal ordering policy and the profit of all parties. The manufacturer is more willing to provide the extremely low-interest rate deferred payment financing mode with early repayment and the rental platform will adopt three different optimal ordering strategies accordingly. Finally, a numerical example is used to verify the conclusion and carry out the sensitivity analysis of the daily interest rate. References | Related Articles | Metrics

A Research on the Evolution Law of Bilateral Platforms Considering the Difference of Merchant Competitiveness LIU Huixin, WU Feixiang 2022, 25 (3):  108-114.  doi: 10.3969/j.issn.1007-7375.2022.03.013 Abstract ( 1066 )   HTML ( 5 )   PDF (768KB) ( 4123 )   Save On bilateral platforms, the quality of the merchant is one of the key factors affecting the quality of the platform. Based on the fact that two-sided users of the platform have multiple transactions, using the number of transactions as a feature to distinguish the quality of merchants, a two-sided platform is examined where both edge merchants and core merchants exist at the same time, and a bilateral user utility model under the difference of merchant competitiveness established. The influence of transaction value-added rate and number of transactions on the evolution of the platform under the system equilibrium state is analyzed. The study finds that the increase in the number of transactions between the platform's bilateral users will increase the number of platform merchants and customers. Among them, the core merchants with more transactions have a faster growth rate than the edge merchants; when the merchants benefit more from the bilateral transactions relative to the users, the platform's pricing of core merchants is higher than that of edge merchants; when users benefit more from merchants, the platform subsidizes core merchants higher than that of edge merchants. Therefore, the platform should increase support for key merchants to promote the stable development of the platform. The conclusions of this study can provide a theoretical basis for the platform to formulate relevant management strategies. References | Related Articles | Metrics

A Research on Hybrid Flow Shop Scheduling Based on Green Production TANG Hongtao, ZHANG Huan 2022, 25 (3):  115-123.  doi: 10.3969/j.issn.1007-7375.2022.03.014 Abstract ( 1220 )   HTML ( 10 )   PDF (814KB) ( 4243 )   Save Aiming at green sustainable development, a multi-objective hybrid flow shop scheduling model is established, with minimizing the maximum makespan, carbon emission and noise, by quantifying green index evaluation method. To solve the model, a hybrid discrete multi-objective imperial competition algorithm (HDMICA) is proposed. The population initialization method based on chaotic reverse learning strategy is adopted to improve the diversity of the initial population. Based on the model in this research, three effective local search strategies are designed to improve the local search capability of the algorithm. The feasibility and effectiveness of the proposed algorithm are verified by experiments. References | Related Articles | Metrics

A Research on Fault Diagnosis Method Based on LMD and ABC Optimized KELM YANG Jingzong, SHI Chunchao, YANG Tianqing, WU Limei 2022, 25 (3):  124-131.  doi: 10.3969/j.issn.1007-7375.2022.03.015 Abstract ( 1150 )   HTML ( 7 )   PDF (801KB) ( 4162 )   Save Aiming at the non-stationary and non-linear characteristics of vibration signal of check valve in high pressure diaphragm pump, a fault diagnosis method based on local mean decomposition (LMD), permutation entropy and artificial bee colony (ABC) optimization kernel extreme learning machine (KELM) is proposed. The vibration signal is decomposed into multiple component signals by LMD, and then the component signal with higher correlation degree is selected by cross-correlation criterion, and the corresponding permutation entropy is calculated as the eigenvector. The fault diagnosis model is built in KELM optimized by artificial bee colony algorithm. Through the processing and analysis of different fault state signals collected under the actual working conditions, the results show that the fault diagnosis method for the operation status of one-way valve can not only better represent the signal state information, but the fault recognition accuracy also reaches 95.65%. At the same time, compared with traditional KEML and ELM, it has higher recognition accuracy. References | Related Articles | Metrics

PRACTICE & APPLICATION

Queuing Network Modeling and Analysis of Workshop with Multi-resource Collaborative Constraints LI Chengping, ZHANG Huiyu, CHEN Qingxin, MAO Ning 2022, 25 (3):  132-140.  doi: 10.3969/j.issn.1007-7375.2022.03.016 Abstract ( 993 )   HTML ( 7 )   PDF (1300KB) ( 4140 )   Save Focused on a man-machine collaborative workshop in the customized manufacturing environment, the solution about system performance indexes is studied based on queuing network modeling. Considering multi-resource constraints in particular, an open queuing network model with finite buffer capacity is built to describe stochastic process of the system, and the state space and state transition balance equation of each node built by using the state space decomposition method. The steady-state probability of the system in each state is obtained by solving the state transition balance equation, and then the system performance indexes were approximately solved. A simulation model is built. Through the comparative analysis of the experimental results with the results of the queuing network model, the relative error of each system performance index is less than 11%, which verifies the accuracy and effectiveness of the solution. The influence of different parameters on the system performance is analyzed based on the queuing network model. It provides basis for further research on resources optimization of this type of workshop. References | Related Articles | Metrics

An Improved Jaya Algorithm for Permutation Flow Shop Scheduling Problem LIU Mengyi, XUE Yanshe, MA Siyi, ZHANG Chaoyong 2022, 25 (3):  141-150.  doi: 10.3969/j.issn.1007-7375.2022.03.017 Abstract ( 1103 )   HTML ( 14 )   PDF (618KB) ( 4243 )   Save Permutation flow shop scheduling problem is widely applied in process and discrete manufacturing enterprises. An improved Jaya algorithm is proposed to solve the PFSP with the minimum makespan. In the improved Jaya algorithm, four individual updating schemes based on the best and the worst individuals are proposed, and local search for individuals is carried out through four neighborhood structures. Diversity control strategy is applied to ensure the diversity of population. The improved Jaya algorithm is used to solve the Car, Rec and Taillard benchmark instances, and the experimental results validate the effectiveness of the proposed algorithm. References | Related Articles | Metrics

Maintenance Decision Optimization Based on a Phased Sequential Mixing Device Failure Rate WU Yaosheng, LIU Qinming, YE Chunming 2022, 25 (3):  151-156.  doi: 10.3969/j.issn.1007-7375.2022.03.018 Abstract ( 1065 )   HTML ( 7 )   PDF (632KB) ( 4252 )   Save Aiming at the problem that the traditional sequential maintenance strategy is difficult to operate in practice, a phased sequential maintenance model of the equipment is proposed. In order to make the sequential maintenance strategy more operational in practice, the maintenance process of the equipment is divided into three stages, and the maintenance interval of each stage is equal. After three stages of maintenance, the preventive replacement of the equipment is carried out. The mixed failure rate function of service life improvement factor and failure rate increasing factor are used to describe the degradation process of the equipment. Considering the sudden failure cost, preventive maintenance cost, replacement cost and shutdown loss cost in the maintenance period, and the equipment reliability is not lower than a certain level, the optimization objective is to minimize the total maintenance cost rate in the maintenance period. In this model, the maintenance interval and maintenance times of three stages are solved by nonlinear constraint optimization tool. An example shows that the maintenance cost can be reduced by about 15%, which verifies the effectiveness of the model. References | Related Articles | Metrics

A Prediction Model of Occasional Congestion Dissipation Time Based on the Whole Process XU Tao, ZHU Ye, XIE Xiaozhong, YAN Qiuping, CHENG Longchun 2022, 25 (3):  157-163.  doi: 10.3969/j.issn.1007-7375.2022.03.019 Abstract ( 1036 )   HTML ( 6 )   PDF (1349KB) ( 4196 )   Save In order to reduce the prediction error of occasional traffic congestion dissipation time, based on the whole process of the accident, the congestion dissipation time is divided into dwell time, disposal time and recovery time, and the regression models of dwell time and disposal time are established from the driver's personality characteristics, accident grade characteristic value and initial speed. The weight of RBF neural network is optimized by using linear decreasing time-varying weight and speed limiting improved standard particle swarm optimization algorithm. The RBF neural network model of occasional congestion recovery time is established by taking Transmodeler simulation data and measured data as training samples. The simulation results show that the average absolute error of the model is 245.3 s. The relative error of improved PSO-RBF network for prediction of recovery time is 11.2%, the root mean square error is 102.3, the average relative error is 38.1% and 23.8% lower than that of single RBF network and standard PSO-RBF network respectively. References | Related Articles | Metrics

A Research on Supply Chain Decision Taking into Account Consumers' Low Carbon Preference under Heterogeneous Emission Reduction Policies JIANG Leiyong, SUN Licheng 2022, 25 (3):  164-172.  doi: 10.3969/j.issn.1007-7375.2022.03.020 Abstract ( 1018 )   HTML ( 8 )   PDF (786KB) ( 4089 )   Save In order to promote the development of low-carbon economy more effectively, while considering the implementation of differentiated carbon emission reduction policies for supply chain enterprises, the supply chain decision-making under the influence of consumers' low carbon preference is studied. A two-level supply chain is formed by suppliers who implement carbon trading policies and manufacturers who implement carbon tax policies, and a Stackelberg game model is constructed to explore the influence of consumers' low carbon preference on enterprise decision-making, as well as the relationship between consumers' low carbon preference and emission reduction policies. Based on this, the influence of consumers' low-carbon preference on enterprise decision-making, and the relationship between consumers' low-carbon preference and emission reduction policy are analyzed. The results show that when consumers' preference for low carbon is enhanced, the product price and carbon emission reduction per unit product of supply chain enterprises will increase, but the upward trend is different. In order to promote the enterprise carbon emission reduction at the same time and to maintain the interests of consumers and market stability, the government needs to make reasonable regulation and control of policies and market prices according to different growth trends. On the other hand, consumers' preference for low carbon is negatively correlated with carbon tax rate and carbon trading price. In this case, the government's implementation of loose heterogeneous emission reduction policies will contribute to the good operation of the supply chain. Finally, the correctness of the corresponding conclusion is further verified by an example analysis. References | Related Articles | Metrics